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Skills

R
Python
Bash

Languages

Russian
English
German

Disclaimer

Made with the R package pagedown.

The source code is available on github.com/nstrayer/cv. Modified source code for this CV is available here

Last updated on 2022-06-12.

Main

Evgeniia Chikina

I am Bioinformatic Master student who previously graduated from Medical University. I use all of my medical and biological knowledge to combine with the world of computer science. At the moment I have especially good knowledge and skills in analyzing RNA sequencing data. Now and in the future I try to develop and gain knowledge in various aspects of bioinformatics, in particular in such areas as: RNA-seq, epigenetics, multi-omics data analysis.

Education

Master degree, Applied Mathematics and Informatics, Bioinformatics and System Biology

ITMO University

Saint-Petersburg, Russia

Current - 2020

  • Thesis: Metabolic Modules Identification in Single-Cell Data
  • Course Project: Identifying Metabolic Modules in TCGA Datasets
  • Semester Project: Effects of Background RNA Noise on Differential Expression Results in scRNA-seq

Specialist degree (with honors), Pediatrician

Saint-Petersburg State Pediatric Medical University

Saint-Petersburg, Russia

2020 - 2014

  • Pediatrician

Research Projects

Metabolic Modules Identification in Single-Cell Data

ITMO University

Saint-Petersburg, Russia

Current - 2021

  • Thesis
  • Main goal of the project is to extend applications of the GAM-clustering tool on the single-cell RNA-seq data. In order to find optimal clustering algorithm performed and analysed multiple clustering strategies for the single-cell RNA-seq data. Used trajectories and gene set enrichment analysis for biological interpretation of the results. Involved in the modification of the tool.

Identifying Metabolic Modules in TCGA Datasets

ITMO University

Saint-Petersburg, Russia

2021 - 2021

  • Course Project
  • With previousy developed GAM-clustering algorithm analyzed TCGA datasets (LUSC) - bulk RNA-seq data. Identified metabolic modules and performed biological analysis of them. During work was involved in the modification of the tool and testing.

Effects of Background RNA Noise on Differential Expression Results in scRNA-seq

ITMO University

Saint-Petersburg, Russia

2020 - 2020

  • Performed standart analysis of the single-cell data with Seurat pipeline and integration of multiple samples using SCTransform intgration. With help of DropletUtils R package identified ambient RNA and tried to estimate the impact of it on the differential expression results.

Other Projects

DiveR ShinyApp

Perdana University (Students Project)

N/A

2022 - 2022

  • DiveR is a graphical user interface (GUI)-based web application hosted on R Shiny for the visualization of DiMA results, a tool designed to facilitate the dissection of protein sequence diversity dynamics for viruses.
  • Modifications of ShinyApp scripts
  • https://github.com/pendy05/DiveR

Achievements

NGSprint Hackaton

NGSchool

Discord, online

2021 - 2021

  • Project: Data Visualization in Bioinformatics
  • Result: ShinyApp
  • Certificate by the link

Bioinformatics Contest 2021

N/A

Stepik, Online

2021 - 2021

Teaching experience

Chemistry/Biology School Tutor

N/A

Saint-Petersburg, Russia

2020 - 2018

  • I was teaching 6-9th grade school students chemistry and biology to increase their knowledge in the field and in some cases helped studying for school exams.

Courses

Introduction to Probability and Data with R (en)

Duke University

Coursera, Online

2022 - 2022

Molecular biology of the cell (ru)

Bioinformatics Institute

Stepik, Online

2020 - 2020

Programming in Python (ru)

Bioinformatics Institute

Stepik, Online

2019 - 2019